Hossain Mohiuddin , Tatsuya Fukushige , Dillon T. Fitch-Polse , Susan L. Handy
{"title":"无码头共享单车会影响公交使用吗?萨克拉门托地区的证据","authors":"Hossain Mohiuddin , Tatsuya Fukushige , Dillon T. Fitch-Polse , Susan L. Handy","doi":"10.1080/15568318.2023.2252757","DOIUrl":null,"url":null,"abstract":"<div><p>Whether micromobility is hurting or boosting transit ridership remains a matter of debate. Previous studies on this topic mainly use either individual level data or system level data. This paper provides insights into this debate through analyses of the connection between bike-share use and transit use at both the individual-level and the system-level. The analysis uses data from an intercept survey of bike-share users and system-level data on bike-share trips from the Sacramento region’s dockless electric bike-share system prior to the COVID-19 pandemic. Our individual-level analysis results suggest that people in the Sacramento region are more likely to replace their transit use with bike-share than to use bike-share as a first- or last-mile transit connector. Certain socio-demographic groups, however, are more likely to use bike share to connect to transit compared to others. Analysis of the system-level data shows that the number of bike-share trips that begin or end near transit stops is positively associated with transit boarding or alightings at those stops conditional on variables known to directly influence transit ridership. In this study, individual- and system-level analyses lead to different conclusions about the relationship between bike-share and transit, suggesting that reliance on system-level data alone may not provide an accurate assessment of the relationship between bike-share and transit use. A detailed understanding of the relationship using both sources of data can assist in better policy formulation that benefits both modes.</p></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 2","pages":"Pages 146-167"},"PeriodicalIF":3.1000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does dockless bike-share influence transit use? Evidence from the Sacramento region\",\"authors\":\"Hossain Mohiuddin , Tatsuya Fukushige , Dillon T. Fitch-Polse , Susan L. Handy\",\"doi\":\"10.1080/15568318.2023.2252757\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Whether micromobility is hurting or boosting transit ridership remains a matter of debate. Previous studies on this topic mainly use either individual level data or system level data. This paper provides insights into this debate through analyses of the connection between bike-share use and transit use at both the individual-level and the system-level. The analysis uses data from an intercept survey of bike-share users and system-level data on bike-share trips from the Sacramento region’s dockless electric bike-share system prior to the COVID-19 pandemic. Our individual-level analysis results suggest that people in the Sacramento region are more likely to replace their transit use with bike-share than to use bike-share as a first- or last-mile transit connector. Certain socio-demographic groups, however, are more likely to use bike share to connect to transit compared to others. Analysis of the system-level data shows that the number of bike-share trips that begin or end near transit stops is positively associated with transit boarding or alightings at those stops conditional on variables known to directly influence transit ridership. In this study, individual- and system-level analyses lead to different conclusions about the relationship between bike-share and transit, suggesting that reliance on system-level data alone may not provide an accurate assessment of the relationship between bike-share and transit use. A detailed understanding of the relationship using both sources of data can assist in better policy formulation that benefits both modes.</p></div>\",\"PeriodicalId\":47824,\"journal\":{\"name\":\"International Journal of Sustainable Transportation\",\"volume\":\"18 2\",\"pages\":\"Pages 146-167\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sustainable Transportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/org/science/article/pii/S1556831823001594\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Transportation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S1556831823001594","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Does dockless bike-share influence transit use? Evidence from the Sacramento region
Whether micromobility is hurting or boosting transit ridership remains a matter of debate. Previous studies on this topic mainly use either individual level data or system level data. This paper provides insights into this debate through analyses of the connection between bike-share use and transit use at both the individual-level and the system-level. The analysis uses data from an intercept survey of bike-share users and system-level data on bike-share trips from the Sacramento region’s dockless electric bike-share system prior to the COVID-19 pandemic. Our individual-level analysis results suggest that people in the Sacramento region are more likely to replace their transit use with bike-share than to use bike-share as a first- or last-mile transit connector. Certain socio-demographic groups, however, are more likely to use bike share to connect to transit compared to others. Analysis of the system-level data shows that the number of bike-share trips that begin or end near transit stops is positively associated with transit boarding or alightings at those stops conditional on variables known to directly influence transit ridership. In this study, individual- and system-level analyses lead to different conclusions about the relationship between bike-share and transit, suggesting that reliance on system-level data alone may not provide an accurate assessment of the relationship between bike-share and transit use. A detailed understanding of the relationship using both sources of data can assist in better policy formulation that benefits both modes.
期刊介绍:
The International Journal of Sustainable Transportation provides a discussion forum for the exchange of new and innovative ideas on sustainable transportation research in the context of environmental, economical, social, and engineering aspects, as well as current and future interactions of transportation systems and other urban subsystems. The scope includes the examination of overall sustainability of any transportation system, including its infrastructure, vehicle, operation, and maintenance; the integration of social science disciplines, engineering, and information technology with transportation; the understanding of the comparative aspects of different transportation systems from a global perspective; qualitative and quantitative transportation studies; and case studies, surveys, and expository papers in an international or local context. Equal emphasis is placed on the problems of sustainable transportation that are associated with passenger and freight transportation modes in both industrialized and non-industrialized areas. All submitted manuscripts are subject to initial evaluation by the Editors and, if found suitable for further consideration, to peer review by independent, anonymous expert reviewers. All peer review is single-blind. Submissions are made online via ScholarOne Manuscripts.